The probability of unusually large components for critical percolation on random $d$-regular graphs
Umberto De Ambroggio, Matthew I. Roberts

TL;DR
This paper analyzes the probability of large components in critical percolation on random regular graphs, providing precise asymptotics for the size of the largest component near the critical threshold.
Contribution
It derives exact asymptotic formulas for the probability of unusually large components in critical percolation on random regular graphs, improving previous results by Nachmias and Peres.
Findings
Probability of large components scales as A^{-3/2} with exponential correction.
Asymptotic probability for a vertex to be in a large component is established.
Results refine understanding of component sizes at criticality in random regular graphs.
Abstract
Let be a fixed integer, , and let be a positive integer such that is even. Let be a (random) graph on vertices obtained by drawing uniformly at random a -regular (simple) graph on and then performing independent -bond percolation on it, i.e. we independently retain each edge with probability and delete it with probability . Let be the size of the largest component in . We show that, when is of the form for , and is large, \begin{align*} \mathbb{P}(|\mathcal{C}_{\text{max}}|>An^{2/3})\asymp A^{-3/2}e^{-\frac{A^3(d-1)(d-2)}{8d^2}+\frac{\lambda A^2(d-2)^2}{2d(d-1)}-\frac{\lambda^2 A(d-1)}{2(d-2)}}. \end{align*} This improves on a result of Nachmias and Peres. We also give an analogous…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Limits and Structures in Graph Theory · Complex Network Analysis Techniques
